I received an email from Dennis of Mt. Shasta, CA, which alerted me that some of the split statistics were not being calculated correctly. Specifically, the vs. Winning/vs. Non-Winning splits were incorrect. There were a couple of issues that caused this.

First, the vs. Winning/vs. Non-Winning splits were only being updated for teams that played in a bowl game. I had a bug which caused those splits to not be updated for the other teams that did not play in bowl games. This has been corrected.

Second, there was a fundamental problem with how the vs. Winning/vs. Non-Winning splits were being calculated. When calculating the split for games between an FBS team and an FCS team, I was only considering the FCS team’s record against FBS teams rather than the FCS team’s overall record. For example, when calculating California’s split, I considered the Bears’ win against Eastern Washington (FCS) as a win over a non-winning team because Eastern Washington was 0-1 against FBS teams. In fact, Eastern Washington has an 8-4 overall record, so Cal’s win should have been considered a win over a winning team instead.

Unfortunately, I don’t track the statistics (including win-loss record) for FCS teams. Keeping up with just the FBS teams is enough to keep me busy. As a result, I don’t have enough information to properly calculate the vs. Winning/vs. Non-Winning splits when FBS teams play against FCS teams. My solution for now was to modify the definition of the vs. Winning/vs. Non-Winning split to only include games against FBS teams. On each page that includes that split, there is a notation indicating that the split only includes games against FBS teams.

I’m not really happy this solution. I don’t like how this split leaves out some games while the other splits include all games. I think the inconsistency might be confusing. However, I think it’s the best solution for now given the data that I have. Using the complete win-loss records for FCS teams is obviously the better solution, but the amount of work needed to do that may be significant.